Author: Lee, Charlie Wah Heng; Koh, Chee Wee; Chan, Yang Sun; Aw, Pauline Poh Kim; Loh, Kuan Hon; Han, Bing Ling; Thien, Pei Ling; Nai, Geraldine Yi Wen; Hibberd, Martin L.; Wong, Christopher W.; Sung, Wing-Kin
Title: Large-scale evolutionary surveillance of the 2009 H1N1 influenza A virus using resequencing arrays Document date: 2010_2_25
ID: 1rhy8td0_41
Snippet: To validate the software, we hybridized 14 patient samples in duplicate onto the microarray. The microarrays were analysed in parallel using Nimblescan (PBC algorithm) and EvolSTAR, and the sequences obtained were compared to Sanger capillary sequencing. We counted the number of true-non-mutation calls, true-mutation calls, error calls and ambiguous ('N') calls for both methods ( Table 2 ; Supplementary Data File 3). We also confirmed that the su.....
Document: To validate the software, we hybridized 14 patient samples in duplicate onto the microarray. The microarrays were analysed in parallel using Nimblescan (PBC algorithm) and EvolSTAR, and the sequences obtained were compared to Sanger capillary sequencing. We counted the number of true-non-mutation calls, true-mutation calls, error calls and ambiguous ('N') calls for both methods ( Table 2 ; Supplementary Data File 3). We also confirmed that the substitution bias in all 14 duplicate hybridization experiments (Table 3) were consistent with that found in Table 1 . Compared with the available capillary sequences for the 14 samples, EvolSTAR had an average error rate of 0.0029% and 12 ambiguous calls per sample (346 in total). This is far superior than Nimblescan PBC, where we obtained an average error rate of 0.083% and 158 ambiguous calls per sample (4434 in total). Furthermore, EvolSTAR called all true mutations correctly. The genome coverage attained by EvolSTAR (99.02 ± 0.82%) is also much higher than that of Nimblegen PBC (94.3 ± 6.06%).
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